References

• Bliss, A.C., Steele, M., Peng, G., Meier, W.N., and Dickinson, S. 2019. “Regional variability of Arctic sea ice seasonal change climate indicators from a passive microwave climate data record.” Environmental Research Letters, Vol. 14: pp. 045003. doi:10.1088/1748-9326/aafb84.
   Web of Science ®Google Scholar
• Cavalieri, D.J., Gloersen, P., and Campbell, W.J. 1984. “Determination of sea ice parameters with the Nimbus 7 SMMR.” Journal of Geophysical Research: Atmospheres, Vol. 89: pp. 5355–5369. doi:10.1029/JD089iD04p05355.
   Web of Science ®Google Scholar
• Cheng, A., Casati, B., Tivy, A., Zagon, T., Lemieux, J.-F., and Tremblay, L.B. 2020. “Accuracy and inter-analyst agreement of visually estimated sea ice concentrations in Canadian Ice Service ice charts using single-polarization RADARSAT-2.” The Cryosphere, Vol. 14: pp. 1289–1310. doi:10.5194/tc-14-1289-2020.
   Web of Science ®Google Scholar
• Comiso, J. 2017. “Bootstrap Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS, Version 3.” https://nsidc.org/data/NSIDC-0079/versions/3
   Google Scholar
• Comiso, J.C. 1995. SSM/I Sea Ice Concentrations using the Bootstrap Algorithm. Vol. 1380. Greenbelt, Maryland: National Aeronautics and Space Administration, Goddard Space Flight Center.
   Google Scholar
• Dawson, J., Carter, N., van Luijk, N., Parker, C., Weber, M., Cook, A., Grey, K., and Provencher, J. 2020. “Infusing Inuit and local knowledge into the Low Impact Shipping Corridors: An adaptation to increased shipping activity and climate change in Arctic Canada.” Environmental Science & Policy, Vol. 105: pp. 19–36. doi:10.1016/j.envsci.2019.11.013.
   Web of Science ®Google Scholar
• Dawson, J., Pizzolato, L., Howell, S.E., Copland, L., and Johnston, M.E. 2018. “Temporal and spatial patterns of ship traffic in the Canadian Arctic from 1990 to 2015.” Arctic, Vol. 71: pp. 15–26. doi:10.14430/arctic4698.
   Web of Science ®Google Scholar
• Dukhovskoy, D.S., Ubnoske, J., Blanchard-Wrigglesworth, E., Hiester, H.R., and Proshutinsky, A. 2015. “Skill metrics for evaluation and comparison of sea ice models.” Journal of Geophysical Research: Oceans, Vol. 120: pp. 5910–5931. doi:10.1002/2015JC010989.
   Web of Science ®Google Scholar
• Ester, M., Kriegel, H.-P., Sander, J., and Xu, X. 1996. “A density-based algorithm for discovering clusters in large spatial databases with noise.” Conference on Knowledge Discovery and Data Mining (KDD), Vol. 96, pp. 226–231.
   Google Scholar
• Goessling, H., and Jung, T. 2018. “A probabilistic verification score for contours: Methodology and application to Arctic ice-edge forecasts.” Quarterly Journal of the Royal Meteorological Society, Vol. 144: pp. 735–743. doi:10.1002/qj.3242.
   Web of Science ®Google Scholar
• Goessling, H.F., Tietsche, S., Day, J.J., Hawkins, E., and Jung, T. 2016. “Predictability of the Arctic sea ice edge.” Geophysical Research Letters, Vol. 43: pp. 1642–1650. doi:10.1002/2015GL067232.
   Web of Science ®Google Scholar
• Heide-Jørgensen, M.P., Burt, L.M., Hansen, R.G., Nielsen, N.H., Rasmussen, M., Fossette, S., and Stern, H. 2013. “The significance of the North Water polynya to Arctic top predators.” Environment and Society (AMBIO), Vol. 42: pp. 596–610. doi:10.1007/s13280-012-0357-3.
   Google Scholar
• Heinrichs, J.F., Cavalieri, D.J., and Markus, T. 2006. “Assessment of the AMSR-E Sea Ice-Concentration product at the ice edge using RADARSAT-1 and MODIS imagery.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 44: pp. 3070–3080. doi:10.1109/TGRS.2006.880622.
   Web of Science ®Google Scholar
• Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., et al. 2018. ERA5 Hourly Data on Single Levels from 1979 to Present. ECMWF, Shinfield Park, Sherfield, United Kingdom: Copernicus Climate Change Service (C3S) Climate Data Store (CDS). doi:10.24381/cds.adbb2d47.
   Google Scholar
• Heygster, G., Huntemann, M., Ivanova, N., Saldo, R., and Pedersen, L.T. 2014. “Response of passive microwave sea ice concentration algorithms to thin ice.” 2014 IEEE Geoscience and Remote Sensing Symposium, pp. 3618–3621. IEEE. doi:10.1109/IGARSS.2014.6947266.
   Google Scholar
• Ivanova, N., Pedersen, L., Tonboe, R., Kern, S., Heygster, G., Lavergne, T., Sørensen, A., et al. 2015. “Inter-comparison and evaluation of sea ice algorithms: Towards further identification of challenges and optimal approach using passive microwave observations.” The Cryosphere, Vol. 9: pp. 1797–1817. doi:10.5194/tc-9-1797-2015.
   Web of Science ®Google Scholar
• Joint, W. 2004. SIGRID-3: A Vector Archive Format for Sea Ice Charts: Developed by the International Ice Charting Working Group’s Ad Hoc Format Team for the WMO Global Digital Sea Ice Data Bank Project. Commission for Oceanography and Marine Meteorology Technical Report, No. 23.
   Google Scholar
• Kern, S., Lavergne, T., Notz, D., Pedersen, L.T., and Tonboe, R. 2020. “Satellite passive microwave sea-ice concentration data set inter-comparison for Arctic summer conditions.” The Cryosphere, Vol. 14: pp. 2469–2493. doi:10.5194/tc-14-2469-2020.
   Web of Science ®Google Scholar
• Kwok, R., Comiso, J.C., Martin, S., and Drucker, R. 2007. “Ross Sea polynyas: Response of ice concentration retrievals to large areas of thin ice.” Geophysical Research: Oceans, Vol. 112: pp. doi:10.1029/2006JC003967.
   Web of Science ®Google Scholar
• Laidre, K.L., Stern, H., Kovacs, K.M., Lowry, L., Moore, S.E., Regehr, E.V., Ferguson, S.H., et al. 2015. “Arctic marine mammal population status, sea ice habitat loss, and conservation recommendations for the 21st century.” Conservation Biology, Vol. 29: pp. 724–737. doi:10.1111/cobi.12474.
   PubMed Web of Science ®Google Scholar
• LeBlanc, M., Gauthier, S., Garbus, S.E., Mosbech, A., and Fortier, L. 2019. “The co-distribution of Arctic cod and its seabird predators across the marginal ice zone in Baffin Bay.” Elementa: Science of the Anthropocene, Vol. 7. doi:10.1525/elementa.339.
   Web of Science ®Google Scholar
• Liu, J., Scott, K.A., Gawish, A., and Fieguth, P. 2016. “Automatic detection of the ice edge in SAR imagery using curvelet transform and active contour.” Remote Sensing, Vol. 8: pp. 480. doi:10.3390/rs8060480.
   Web of Science ®Google Scholar
• Liu, Y., Helfrich, S., Meier, W.N., and Dworak, R. 2020. “Assessment of AMSR2 ice extent and ice edge in the Arctic using IMS.” Remote Sensing, Vol. 12: pp. 1582. doi:10.3390/rs12101582.
   Web of Science ®Google Scholar
• MANICE. 2005. Manual of standard procedures for observing and reporting ice conditions.
   Google Scholar
• Markus, T., and Cavalieri, D.J. 2000. “An enhancement of the NASA Team sea ice algorithm.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 38: pp. 1387–1398. doi:10.1109/36.843033.
   Web of Science ®Google Scholar
• Meier, W., Markus, T., and Comiso, J. 2018. “AMSR-E/AMSR2 unified L3 daily 12.5 km brightness temperatures, sea ice concentration, motion & snow depth polar grids, version 1.” https://nsidc.org/data/AU_SI12/versions/1
   Google Scholar
• Meier, W., Markus, T., Comiso, J., Ivanoff, A., and Miller, J. 2017. AMSR2 Sea Ice Algorithm Theoretical Basis Document. Greenbelt, MD: NASA Goddard Space Flight Center.
   Google Scholar
• Melsom, A., Palerme, C., and Müller, M. 2019. “Validation metrics for ice edge position forecasts.” Ocean Science, Vol. 15: pp. 615–630. doi:10.5194/os-15-615-2019.
   Web of Science ®Google Scholar
• Ozsoy-Cicek, B., Xie, H., Ackley, S., and Ye, K. 2009. “Antarctic summer sea ice concentration and extent: comparison of ODEN 2006 ship observations, satellite passive microwave and NIC sea ice charts.” The Cryosphere, Vol. 3: pp. 1–9. doi:10.5194/tc-3-1-2009.
   Web of Science ®Google Scholar
• Palerme, C., Müller, M., and Melsom, A. 2019. “An intercomparison of verification scores for evaluating the sea ice edge position in seasonal forecasts.” Geophysical Research Letters, Vol. 46: pp. 4757–4763. doi:10.1029/2019GL082482.
   Web of Science ®Google Scholar
• Pang, X., Pu, J., Zhao, X., Ji, Q., Qu, M., and Cheng, Z. 2018. “Comparison between AMSR2 sea ice concentration products and pseudo-ship observations of the Arctic and Antarctic sea ice edge on cloud-free days.” Remote Sensing, Vol. 10: pp. 317. doi:10.3390/rs10020317.
   Web of Science ®Google Scholar
• Scott, K.A., Buehner, M., Caya, A., and Carrieres, T. 2012. “Direct assimilation of AMSR-E brightness temperatures for estimating sea ice concentration.” Monthly Weather Review, Vol. 140: pp. 997–1013. doi:10.1175/MWR-D-11-00014.1.
   Web of Science ®Google Scholar
• Shokr, M., and Sinha, N. 2015. Sea Ice: Physics and Remote Sensing. Hoboken, New Jersey, United States: John Wiley & Sons.
   Google Scholar
• Spreen, G., Kaleschke, L., and Heygster, G. 2008. “Sea ice remote sensing using AMSR-E 89-GHz channels.” Journal of Geophysical Research: Oceans, Vol. 113: pp. C02S03. doi:10.1029/2005JC003384.
   Web of Science ®Google Scholar
• Svendsen, E., Matzler, C., and Grenfell, T.C. 1987. “A model for retrieving total sea ice concentration from a spaceborne dual-polarized passive microwave instrument operating near 90 GHz.” International Journal of Remote Sensing, Vol. 8: pp. 1479–1487. doi:10.1080/01431168708954790.
   Web of Science ®Google Scholar
• Thomas, D.N., and Dieckmann, G. 2008. Sea Ice: An Introduction to Its Physics, Chemistry, Biology and Geology. Hoboken, New Jersey, United States: John Wiley & Sons.
   Google Scholar
• Wang, L., Scott, K.A., and Clausi, D.A. 2017. “Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network.” Remote Sensing, Vol. 9: pp. 408. doi:10.3390/rs9050408.
   Web of Science ®Google Scholar
• Wilson, K., Arreak, A., Bell, T., Ljubicic, G., and Committee, S. 2021. “The Mittimatalik Siku Asijjipallianinga (sea ice climate atlas): How Inuit knowledge, earth observations, and sea ice charts can fill IPCC climate knowledge gaps.” Frontiers in Climate, Vol. 3: pp. 715105. doi:10.3389/fclim.2021.715105.
   Google Scholar